scholarly journals Medical Image Transmission Using Novel Crypto-Compression Scheme

2022 ◽  
Vol 32 (2) ◽  
pp. 841-857
Author(s):  
Arwa Mashat ◽  
Surbhi Bhatia ◽  
Ankit Kumar ◽  
Pankaj Dadheech ◽  
Aliaa Alabdali
Keyword(s):  
Medical Image ◽  
Image Transmission ◽  
Compression Scheme

scholarly journals Medical Image Encryption and Compression Scheme Using Compressive Sensing and Pixel Swapping Based Permutation Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Li-bo Zhang ◽  
Zhi-liang Zhu ◽  
Ben-qiang Yang ◽  
Wen-yuan Liu ◽  
Hong-feng Zhu ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Medical Image ◽  
Large Scale ◽  
Image Transmission ◽  
Security Level ◽  
Compression Scheme ◽  
Diffusion Type ◽  
Public Networks ◽  
Chebyshev Map ◽  
Plain Image

This paper presents a solution to satisfy the increasing requirements for secure medical image transmission and storage over public networks. The proposed scheme can simultaneously encrypt and compress the medical image using compressive sensing (CS) and pixel swapping based permutation approach. In the CS phase, the plain image is compressed and encrypted by chaos-based Bernoulli measurement matrix, which is generated under the control of the introduced Chebyshev map. The quantized measurements are then encrypted by permutation-diffusion type chaotic cipher for the second level protection. Simulations and extensive security analyses have been performed. The results demonstrate that at a large scale of compression ratio the proposed cryptosystem can provide satisfactory security level and reconstruction quality.

A Study on the Medical Image Transmission Service Based on IEEE 802.15.4a

2007 ◽  
pp. 159-167 ◽  
Author(s):  
Yang-Sun Lee ◽  
Jae-Min Kwak ◽  
Sung-Eon Cho ◽  
Ji-Woong Kim ◽  
Heau-Jo Kang
Keyword(s):  
Medical Image ◽  
Image Transmission ◽  
Ieee 802.15.4A

A fast ELM-based machine compression scheme for underwater image transmission on a low-bandwidth acoustic channel

Sensor Review ◽  
2019 ◽  
Vol 39 (4) ◽  
pp. 542-553
Author(s):  
Shujing Zhang ◽  
Manyu Zhang ◽  
Yujie Cui ◽  
Xingyue Liu ◽  
Bo He ◽  
...  
Keyword(s):  
Image Compression ◽  
Principal Component ◽  
Image Transmission ◽  
Color Images ◽  
Compression Algorithm ◽  
Divide And Conquer ◽  
Perceptual Quality ◽  
Compression Scheme ◽  
Content Type ◽  
Processing Module

Purpose This paper aims to propose a fast machine compression scheme, which can solve the problem of low-bandwidth transmission for underwater images. Design/methodology/approach This fast machine compression scheme mainly consists of three stages. Firstly, raw images are fed into the image pre-processing module, which is specially designed for underwater color images. Secondly, a divide-and-conquer (D&C) image compression framework is developed to divide the problem of image compression into a manageable size. And extreme learning machine (ELM) is introduced to substitute for principal component analysis (PCA), which is a traditional transform-based lossy compression algorithm. The execution time of ELM is very short, thus the authors can compress the images at a much faster speed. Finally, underwater color images can be recovered from the compressed images. Findings Experiment results show that the proposed scheme can not only compress the images at a much faster speed but also maintain the acceptable perceptual quality of reconstructed images. Originality/value This paper proposes a fast machine compression scheme, which combines the traditional PCA compression algorithm with the ELM algorithm. Moreover, a pre-processing module and a D&C image compression framework are specially designed for underwater images.

Crypto-compression scheme based on the DWT for medical image security

2019 ◽  
Vol 9 (4) ◽  
pp. 340
Author(s):  
Med Karim Abdmouleh ◽  
Ali Khalfallah ◽  
Med Salim Bouhlel
Keyword(s):  
Medical Image ◽  
Compression Scheme ◽  
Image Security ◽  
Medical Image Security

An Efficient DCT-Based Cryptocompression Scheme for a Secure and Authentic Medical Image Transmission

2006 ◽  
Vol 34 (6) ◽  
pp. 100062
Author(s):  
MS Bouhlel ◽  
F Kammoun ◽  
E Garcia
Keyword(s):  
Medical Image ◽  
Image Transmission
Sign in / Sign up

Export Citation Format

Share Document